@inproceedings{221a14a560a64f9bb09eef5f25691192,
title = "Experimental validation of a computational knee model of TKR implant placement",
abstract = "The goal of this work was to experimentally validate a computational model for TKRs to improve implant alignment accuracy and assess potential implant misalignment during preoperative planning. Initial validation of the model was achieved by comparing ligament strain energies between the computational model and a physical knee model comprised of bone and ligament analogues. Experimental validation would be considered met when the computational model strain energies were within 10% of the measured values for all six physical knees. Physical and computational knee models were created with six variations of implant alignment to test the robustness of the computational model. Strain energy errors were well within the 10% threshold across knee range of motion.",
keywords = "Arthroplasty, Computational model, Knee",
author = "Aaron Henry and Gordon Goodchild and Jon Greenwald and Morteza Meftah and Michael Moreno and Andrew Robbins",
note = "Publisher Copyright: {\textcopyright} 2023 by ASME.; 2023 Design of Medical Devices Conference, DMD 2023 ; Conference date: 17-04-2023 Through 21-04-2023",
year = "2023",
doi = "10.1115/DMD2023-5598",
language = "English (US)",
series = "Proceedings of the 2023 Design of Medical Devices Conference, DMD 2023",
publisher = "American Society of Mechanical Engineers",
booktitle = "Proceedings of the 2023 Design of Medical Devices Conference, DMD 2023",
}